James E Smith – författare

In the quiet town of Monroe, Georgia, the Penny Murderer once instilled fear through a reign of terror, leaving behind cryptic notes bearing the haunting words "A penny for your thoughts." Detective Mike Allen and his team managed to capture Samuel Johnson, a man they believed to be responsible for the twelve gruesome murders. However, Johnson''s persistent claims of innocence, coupled with his suspicious death shortly after his conviction, cast doubt on the true nature of the case.

Nearly three decades later, the nightmare returns. Two murders occur on the same night, bearing the unmistakable calling card of the Penny Murders. One victim shares a connection to the old case, while the other is Marcus Jones, Sergeant Allen''s partner and friend. Sergeant Allen is now forced to work with a partner who questions his every move and challenges the integrity of the original trial. They are now in a race against time to catch this killer before they kill again. 

Simultaneously, Attorney Nicole Jones, Marcus''s grieving widow, embarks on a dark and harrowing journey to unravel the truth behind her husband''s death. Initially a suspect, Nicole discovers that both her husband and his former partner, Mike Allen, had concealed secrets from her. Their once solid friendship becomes strained as they each confront their own demons and question the loyalty and motives of the other.

As the secrets of the past resurface, trust becomes a fragile commodity. Loyalties are tested, alliances shift, and the fabric of the community begins to unravel. Uncovering the truth becomes paramount, leading to a reckoning that could forever change the lives of those involved. Amidst the twists and turns of this gripping narrative, viewers will be captivated by the complex characters and unexpected revelations that keep them guessing until the final moment and the killer is revealed.

1989: What Happens When A Killer Returns For Revenge delves into the darkest recesses of human nature, exploring the price one must pay to hide their truth and the haunting consequences when secrets long buried claw their way to the surface. In this gripping tale of suspense and betrayal, the past and present collide, forcing those entangled in its web to confront the ghosts that haunt them.

Understanding and implementing the brain''s computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain''s computational capabilities far beyond those of conventional computers, its energy efficiency is truly remarkable. This book, written from the perspective of a computer designer and targeted at computer researchers, is intended to give both background and lay out a course of action for studying the brain''s computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author.

As background, relevant biological features are described in terms of their computational and communication properties. The brain''s neocortex is constructed of massively interconnected neurons that compute and communicate via voltage spikes, and a strong argument can be made that precise spike timing is an essential element of the paradigm. Drawing from the biological features, a mathematics-based computational paradigm is constructed. The key feature is spiking neurons that perform communication and processing in space-time, with emphasis on time. In these paradigms, time is used as a freely available resource for both communication and computation.

Neuron models are first discussed in general, and one is chosen for detailed development. Using the model, single-neuron computation is first explored. Neuron inputs are encoded as spike patterns, and the neuron is trained to identify input pattern similarities. Individual neurons are building blocks for constructing larger ensembles, referred to as "columns". These columns are trained in an unsupervised manner and operate collectively to perform the basic cognitive function of pattern clustering. Similar input patterns are mapped to a much smaller set of similar output patterns, thereby dividing the input patterns into identifiable clusters. Larger cognitive systems are formed by combining columns into a hierarchical architecture. These higher level architectures are the subject of ongoing study, and progress to date is described in detail in later chapters. Simulation plays a major role in model development, and the simulation infrastructure developed by the author is described.